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ai-visibility-mcp

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ai-visibility-mcp

MCP server for tracking brand visibility across ChatGPT, Perplexity, Claude, and Gemini

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AI Visibility MCP Server

MCP server for tracking brand visibility across AI platforms — ChatGPT, Perplexity, Claude, and Gemini.

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "ai-visibility": {
      "command": "npx",
      "args": ["-y", "ai-visibility-mcp"]
    }
  }
}

Cursor

Add to your Cursor MCP settings:

{
  "mcpServers": {
    "ai-visibility": {
      "command": "npx",
      "args": ["-y", "ai-visibility-mcp"]
    }
  }
}

Manual / npx

npx ai-visibility-mcp

Build from source

cd mcp-server
npm install
npm run build
node dist/index.js

Tools

ToolDescription
check_brand_visibilityCheck a brand's visibility across AI platforms with detailed per-platform results
check_single_queryCheck brand mention for a specific query on a specific platform
get_visibility_scoreCalculate overall AI visibility score (0-100) with tier rating
compare_brandsCompare visibility of multiple brands side by side
get_recommendationsGet prioritized recommendations to improve AI visibility
list_platformsList all supported AI platforms with sourcing details

Example Usage

Check brand visibility

Check the AI visibility of "Ahrefs" with keywords ["SEO", "backlinks"]

Returns per-platform mention rates, positions, sentiment breakdown, and competitor landscape.

Get visibility score

What's the AI visibility score for "HubSpot"?

Returns a 0-100 score with tier rating (Excellent/Good/Moderate/Low/Very Low) and recommendations.

Compare brands

Compare the AI visibility of "Ahrefs", "SEMrush", and "Moz" for the keyword "SEO"

Returns a ranked comparison table with per-platform scores.

Check specific query

Check if "Notion" is mentioned when asking ChatGPT "What are the best project management tools?"

Returns mention status, position, context snippet, sentiment, and competitors.

Get recommendations

How can "MyStartup" improve its AI visibility?

Returns prioritized, actionable recommendations based on the brand's current score.

How It Works

The server simulates realistic AI platform responses using:

  • Seeded randomness — Results are consistent for the same brand within a time window
  • Platform-specific biases — Perplexity cites more sources, ChatGPT has moderate mention rates
  • Brand recognition — Well-known brands get higher visibility scores
  • Query-type awareness — Direct brand queries yield higher mention rates than generic ones
  • Industry-aware competitors — Competitor pools match the brand's industry vertical

For production use, replace the simulation layer with real API calls to each platform.

License

MIT

FAQs

Package last updated on 21 Mar 2026

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